加入 Gitee
与超过 1200万 开发者一起发现、参与优秀开源项目,私有仓库也完全免费 :)
免费加入
文件
克隆/下载
cuda.c 19.56 KB
一键复制 编辑 原始数据 按行查看 历史
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505506507508509510511512513514515516517518519520521522523524525526527528529530531532533534535536537538539540541542543544545546547548549550551552553554555556557558559560561562563564565566567568569570571572573574575576577578579580581582583584585586587588589590591592593594595596597598599600601602603604605606607608609610611612613614615616617618619620621622623624625626627628629630631632633634635636637638639640641642643644645646647648649650651652653654655656657658659660661662663664665666667668669670671672673674675676677678679680681682683684685686687688689690691692693694695696697698699700701702703704705706707708709710711712713714715716717718719720721722723724725726727728729
/*
* Copyright 2012 Ecole Normale Superieure
*
* Use of this software is governed by the MIT license
*
* Written by Sven Verdoolaege,
* Ecole Normale Superieure, 45 rue d’Ulm, 75230 Paris, France
*/
#include <isl/aff.h>
#include <isl/ast.h>
#include "cuda_common.h"
#include "cuda.h"
#include "gpu.h"
#include "gpu_print.h"
#include "print.h"
#include "util.h"
static __isl_give isl_printer *print_cuda_macros(__isl_take isl_printer *p)
{
const char *macros =
"#define cudaCheckReturn(ret) \\\n"
" do { \\\n"
" cudaError_t cudaCheckReturn_e = (ret); \\\n"
" if (cudaCheckReturn_e != cudaSuccess) { \\\n"
" fprintf(stderr, \"CUDA error: %s\\n\", "
"cudaGetErrorString(cudaCheckReturn_e)); \\\n"
" fflush(stderr); \\\n"
" } \\\n"
" assert(cudaCheckReturn_e == cudaSuccess); \\\n"
" } while(0)\n"
"#define cudaCheckKernel() \\\n"
" do { \\\n"
" cudaCheckReturn(cudaGetLastError()); \\\n"
" } while(0)\n\n";
p = isl_printer_print_str(p, macros);
return p;
}
/* Print a declaration for the device array corresponding to "array" on "p".
*/
static __isl_give isl_printer *declare_device_array(__isl_take isl_printer *p,
struct gpu_array_info *array)
{
int i;
p = isl_printer_start_line(p);
p = isl_printer_print_str(p, array->type);
p = isl_printer_print_str(p, " ");
if (!array->linearize && array->n_index > 1)
p = isl_printer_print_str(p, "(");
p = isl_printer_print_str(p, "*dev_");
p = isl_printer_print_str(p, array->name);
if (!array->linearize && array->n_index > 1) {
p = isl_printer_print_str(p, ")");
for (i = 1; i < array->n_index; i++) {
isl_ast_expr *bound;
bound = isl_ast_expr_get_op_arg(array->bound_expr,
1 + i);
p = isl_printer_print_str(p, "[");
p = isl_printer_print_ast_expr(p, bound);
p = isl_printer_print_str(p, "]");
isl_ast_expr_free(bound);
}
}
p = isl_printer_print_str(p, ";");
p = isl_printer_end_line(p);
return p;
}
static __isl_give isl_printer *declare_device_arrays(__isl_take isl_printer *p,
struct gpu_prog *prog)
{
int i;
for (i = 0; i < prog->n_array; ++i) {
if (!gpu_array_requires_device_allocation(&prog->array[i]))
continue;
p = declare_device_array(p, &prog->array[i]);
}
p = isl_printer_start_line(p);
p = isl_printer_end_line(p);
return p;
}
static __isl_give isl_printer *allocate_device_arrays(
__isl_take isl_printer *p, struct gpu_prog *prog)
{
int i;
for (i = 0; i < prog->n_array; ++i) {
struct gpu_array_info *array = &prog->array[i];
if (!gpu_array_requires_device_allocation(&prog->array[i]))
continue;
p = ppcg_ast_expr_print_macros(array->bound_expr, p);
p = isl_printer_start_line(p);
p = isl_printer_print_str(p,
"cudaCheckReturn(cudaMalloc((void **) &dev_");
p = isl_printer_print_str(p, prog->array[i].name);
p = isl_printer_print_str(p, ", ");
p = gpu_array_info_print_size(p, &prog->array[i]);
p = isl_printer_print_str(p, "));");
p = isl_printer_end_line(p);
}
p = isl_printer_start_line(p);
p = isl_printer_end_line(p);
return p;
}
static __isl_give isl_printer *free_device_arrays(__isl_take isl_printer *p,
struct gpu_prog *prog)
{
int i;
for (i = 0; i < prog->n_array; ++i) {
if (!gpu_array_requires_device_allocation(&prog->array[i]))
continue;
p = isl_printer_start_line(p);
p = isl_printer_print_str(p, "cudaCheckReturn(cudaFree(dev_");
p = isl_printer_print_str(p, prog->array[i].name);
p = isl_printer_print_str(p, "));");
p = isl_printer_end_line(p);
}
return p;
}
/* Print code to "p" for copying "array" from the host to the device
* in its entirety. The bounds on the extent of "array" have
* been precomputed in extract_array_info and are used in
* gpu_array_info_print_size.
*/
static __isl_give isl_printer *copy_array_to_device(__isl_take isl_printer *p,
struct gpu_array_info *array)
{
p = isl_printer_start_line(p);
p = isl_printer_print_str(p, "cudaCheckReturn(cudaMemcpy(dev_");
p = isl_printer_print_str(p, array->name);
p = isl_printer_print_str(p, ", ");
if (gpu_array_is_scalar(array))
p = isl_printer_print_str(p, "&");
p = isl_printer_print_str(p, array->name);
p = isl_printer_print_str(p, ", ");
p = gpu_array_info_print_size(p, array);
p = isl_printer_print_str(p, ", cudaMemcpyHostToDevice));");
p = isl_printer_end_line(p);
return p;
}
/* Print code to "p" for copying "array" back from the device to the host
* in its entirety. The bounds on the extent of "array" have
* been precomputed in extract_array_info and are used in
* gpu_array_info_print_size.
*/
static __isl_give isl_printer *copy_array_from_device(
__isl_take isl_printer *p, struct gpu_array_info *array)
{
p = isl_printer_start_line(p);
p = isl_printer_print_str(p, "cudaCheckReturn(cudaMemcpy(");
if (gpu_array_is_scalar(array))
p = isl_printer_print_str(p, "&");
p = isl_printer_print_str(p, array->name);
p = isl_printer_print_str(p, ", dev_");
p = isl_printer_print_str(p, array->name);
p = isl_printer_print_str(p, ", ");
p = gpu_array_info_print_size(p, array);
p = isl_printer_print_str(p, ", cudaMemcpyDeviceToHost));");
p = isl_printer_end_line(p);
return p;
}
static void print_reverse_list(FILE *out, int len, int *list)
{
int i;
if (!out || len == 0)
return;
fprintf(out, "(");
for (i = 0; i < len; ++i) {
if (i)
fprintf(out, ", ");
fprintf(out, "%d", list[len - 1 - i]);
}
fprintf(out, ")");
}
/* Print the effective grid size as a list of the sizes in each
* dimension, from innermost to outermost.
*/
static __isl_give isl_printer *print_grid_size(__isl_take isl_printer *p,
struct ppcg_kernel *kernel)
{
int i;
int dim;
dim = isl_multi_pw_aff_dim(kernel->grid_size, isl_dim_set);
if (dim == 0)
return p;
p = isl_printer_print_str(p, "(");
for (i = dim - 1; i >= 0; --i) {
isl_ast_expr *bound;
bound = isl_ast_expr_get_op_arg(kernel->grid_size_expr, 1 + i);
p = isl_printer_print_ast_expr(p, bound);
isl_ast_expr_free(bound);
if (i > 0)
p = isl_printer_print_str(p, ", ");
}
p = isl_printer_print_str(p, ")");
return p;
}
/* Print the grid definition.
*/
static __isl_give isl_printer *print_grid(__isl_take isl_printer *p,
struct ppcg_kernel *kernel)
{
p = isl_printer_start_line(p);
p = isl_printer_print_str(p, "dim3 k");
p = isl_printer_print_int(p, kernel->id);
p = isl_printer_print_str(p, "_dimGrid");
p = print_grid_size(p, kernel);
p = isl_printer_print_str(p, ";");
p = isl_printer_end_line(p);
return p;
}
/* Print the arguments to a kernel declaration or call. If "types" is set,
* then print a declaration (including the types of the arguments).
*
* The arguments are printed in the following order
* - the arrays accessed by the kernel
* - the parameters
* - the host loop iterators
*/
static __isl_give isl_printer *print_kernel_arguments(__isl_take isl_printer *p,
struct gpu_prog *prog, struct ppcg_kernel *kernel, int types)
{
int i, n;
int first = 1;
unsigned nparam;
isl_space *space;
const char *type;
for (i = 0; i < prog->n_array; ++i) {
int required;
required = ppcg_kernel_requires_array_argument(kernel, i);
if (required < 0)
return isl_printer_free(p);
if (!required)
continue;
if (!first)
p = isl_printer_print_str(p, ", ");
if (types)
p = gpu_array_info_print_declaration_argument(p,
&prog->array[i], NULL);
else
p = gpu_array_info_print_call_argument(p,
&prog->array[i]);
first = 0;
}
space = isl_union_set_get_space(kernel->arrays);
nparam = isl_space_dim(space, isl_dim_param);
for (i = 0; i < nparam; ++i) {
const char *name;
name = isl_space_get_dim_name(space, isl_dim_param, i);
if (!first)
p = isl_printer_print_str(p, ", ");
if (types)
p = isl_printer_print_str(p, "int ");
p = isl_printer_print_str(p, name);
first = 0;
}
isl_space_free(space);
n = isl_space_dim(kernel->space, isl_dim_set);
type = isl_options_get_ast_iterator_type(prog->ctx);
for (i = 0; i < n; ++i) {
const char *name;
if (!first)
p = isl_printer_print_str(p, ", ");
name = isl_space_get_dim_name(kernel->space, isl_dim_set, i);
if (types) {
p = isl_printer_print_str(p, type);
p = isl_printer_print_str(p, " ");
}
p = isl_printer_print_str(p, name);
first = 0;
}
return p;
}
/* Print the header of the given kernel.
*/
static __isl_give isl_printer *print_kernel_header(__isl_take isl_printer *p,
struct gpu_prog *prog, struct ppcg_kernel *kernel)
{
p = isl_printer_start_line(p);
p = isl_printer_print_str(p, "__global__ void kernel");
p = isl_printer_print_int(p, kernel->id);
p = isl_printer_print_str(p, "(");
p = print_kernel_arguments(p, prog, kernel, 1);
p = isl_printer_print_str(p, ")");
return p;
}
/* Print the header of the given kernel to both gen->cuda.kernel_h
* and gen->cuda.kernel_c.
*/
static void print_kernel_headers(struct gpu_prog *prog,
struct ppcg_kernel *kernel, struct cuda_info *cuda)
{
isl_printer *p;
p = isl_printer_to_file(prog->ctx, cuda->kernel_h);
p = isl_printer_set_output_format(p, ISL_FORMAT_C);
p = print_kernel_header(p, prog, kernel);
p = isl_printer_print_str(p, ";");
p = isl_printer_end_line(p);
isl_printer_free(p);
p = isl_printer_to_file(prog->ctx, cuda->kernel_c);
p = isl_printer_set_output_format(p, ISL_FORMAT_C);
p = print_kernel_header(p, prog, kernel);
p = isl_printer_end_line(p);
isl_printer_free(p);
}
static void print_indent(FILE *dst, int indent)
{
fprintf(dst, "%*s", indent, "");
}
/* Print a list of iterators of type "type" with names "ids" to "out".
* Each iterator is assigned one of the cuda identifiers in cuda_dims.
* In particular, the last iterator is assigned the x identifier
* (the first in the list of cuda identifiers).
*/
static void print_iterators(FILE *out, const char *type,
__isl_keep isl_id_list *ids, const char *cuda_dims[])
{
int i, n;
n = isl_id_list_n_id(ids);
if (n <= 0)
return;
print_indent(out, 4);
fprintf(out, "%s ", type);
for (i = 0; i < n; ++i) {
isl_id *id;
if (i)
fprintf(out, ", ");
id = isl_id_list_get_id(ids, i);
fprintf(out, "%s = %s", isl_id_get_name(id),
cuda_dims[n - 1 - i]);
isl_id_free(id);
}
fprintf(out, ";\n");
}
static void print_kernel_iterators(FILE *out, struct ppcg_kernel *kernel)
{
isl_ctx *ctx = isl_ast_node_get_ctx(kernel->tree);
const char *type;
const char *block_dims[] = { "blockIdx.x", "blockIdx.y" };
const char *thread_dims[] = { "threadIdx.x", "threadIdx.y",
"threadIdx.z" };
type = isl_options_get_ast_iterator_type(ctx);
print_iterators(out, type, kernel->block_ids, block_dims);
print_iterators(out, type, kernel->thread_ids, thread_dims);
}
static __isl_give isl_printer *print_kernel_var(__isl_take isl_printer *p,
struct ppcg_kernel_var *var)
{
int j;
p = isl_printer_start_line(p);
if (var->type == ppcg_access_shared)
p = isl_printer_print_str(p, "__shared__ ");
p = isl_printer_print_str(p, var->array->type);
p = isl_printer_print_str(p, " ");
p = isl_printer_print_str(p, var->name);
for (j = 0; j < var->array->n_index; ++j) {
isl_val *v;
p = isl_printer_print_str(p, "[");
v = isl_vec_get_element_val(var->size, j);
p = isl_printer_print_val(p, v);
isl_val_free(v);
p = isl_printer_print_str(p, "]");
}
p = isl_printer_print_str(p, ";");
p = isl_printer_end_line(p);
return p;
}
static __isl_give isl_printer *print_kernel_vars(__isl_take isl_printer *p,
struct ppcg_kernel *kernel)
{
int i;
for (i = 0; i < kernel->n_var; ++i)
p = print_kernel_var(p, &kernel->var[i]);
return p;
}
/* Print a sync statement.
*/
static __isl_give isl_printer *print_sync(__isl_take isl_printer *p,
struct ppcg_kernel_stmt *stmt)
{
p = isl_printer_start_line(p);
p = isl_printer_print_str(p, "__syncthreads();");
p = isl_printer_end_line(p);
return p;
}
/* This function is called for each user statement in the AST,
* i.e., for each kernel body statement, copy statement or sync statement.
*/
static __isl_give isl_printer *print_kernel_stmt(__isl_take isl_printer *p,
__isl_take isl_ast_print_options *print_options,
__isl_keep isl_ast_node *node, void *user)
{
isl_id *id;
struct ppcg_kernel_stmt *stmt;
id = isl_ast_node_get_annotation(node);
stmt = isl_id_get_user(id);
isl_id_free(id);
isl_ast_print_options_free(print_options);
switch (stmt->type) {
case ppcg_kernel_copy:
return ppcg_kernel_print_copy(p, stmt);
case ppcg_kernel_sync:
return print_sync(p, stmt);
case ppcg_kernel_domain:
return ppcg_kernel_print_domain(p, stmt);
}
return p;
}
static void print_kernel(struct gpu_prog *prog, struct ppcg_kernel *kernel,
struct cuda_info *cuda)
{
isl_ctx *ctx = isl_ast_node_get_ctx(kernel->tree);
isl_ast_print_options *print_options;
isl_printer *p;
print_kernel_headers(prog, kernel, cuda);
fprintf(cuda->kernel_c, "{\n");
print_kernel_iterators(cuda->kernel_c, kernel);
p = isl_printer_to_file(ctx, cuda->kernel_c);
p = isl_printer_set_output_format(p, ISL_FORMAT_C);
p = isl_printer_indent(p, 4);
p = print_kernel_vars(p, kernel);
p = isl_printer_end_line(p);
p = ppcg_set_macro_names(p);
p = gpu_print_macros(p, kernel->tree);
print_options = isl_ast_print_options_alloc(ctx);
print_options = isl_ast_print_options_set_print_user(print_options,
&print_kernel_stmt, NULL);
p = isl_ast_node_print(kernel->tree, p, print_options);
isl_printer_free(p);
fprintf(cuda->kernel_c, "}\n");
}
/* Print code for initializing the device for execution of the transformed
* code. This includes declaring locally defined variables as well as
* declaring and allocating the required copies of arrays on the device.
*/
static __isl_give isl_printer *init_device(__isl_take isl_printer *p,
struct gpu_prog *prog)
{
p = print_cuda_macros(p);
p = gpu_print_local_declarations(p, prog);
p = declare_device_arrays(p, prog);
p = allocate_device_arrays(p, prog);
return p;
}
/* Print code for clearing the device after execution of the transformed code.
* In particular, free the memory that was allocated on the device.
*/
static __isl_give isl_printer *clear_device(__isl_take isl_printer *p,
struct gpu_prog *prog)
{
p = free_device_arrays(p, prog);
return p;
}
/* Print a statement for copying an array to or from the device,
* or for initializing or clearing the device.
* The statement identifier of a copying node is called
* "to_device_<array name>" or "from_device_<array name>" and
* its user pointer points to the gpu_array_info of the array
* that needs to be copied.
* The node for initializing the device is called "init_device".
* The node for clearing the device is called "clear_device".
*
* Extract the array (if any) from the identifier and call
* init_device, clear_device, copy_array_to_device or copy_array_from_device.
*/
static __isl_give isl_printer *print_device_node(__isl_take isl_printer *p,
__isl_keep isl_ast_node *node, struct gpu_prog *prog)
{
isl_ast_expr *expr, *arg;
isl_id *id;
const char *name;
struct gpu_array_info *array;
expr = isl_ast_node_user_get_expr(node);
arg = isl_ast_expr_get_op_arg(expr, 0);
id = isl_ast_expr_get_id(arg);
name = isl_id_get_name(id);
array = isl_id_get_user(id);
isl_id_free(id);
isl_ast_expr_free(arg);
isl_ast_expr_free(expr);
if (!name)
return isl_printer_free(p);
if (!strcmp(name, "init_device"))
return init_device(p, prog);
if (!strcmp(name, "clear_device"))
return clear_device(p, prog);
if (!array)
return isl_printer_free(p);
if (!prefixcmp(name, "to_device"))
return copy_array_to_device(p, array);
else
return copy_array_from_device(p, array);
}
struct print_host_user_data {
struct cuda_info *cuda;
struct gpu_prog *prog;
};
/* Print the user statement of the host code to "p".
*
* The host code may contain original user statements, kernel launches,
* statements that copy data to/from the device and statements
* the initialize or clear the device.
* The original user statements and the kernel launches have
* an associated annotation, while the other statements do not.
* The latter are handled by print_device_node.
* The annotation on the user statements is called "user".
*
* In case of a kernel launch, print a block of statements that
* defines the grid and the block and then launches the kernel.
*/
static __isl_give isl_printer *print_host_user(__isl_take isl_printer *p,
__isl_take isl_ast_print_options *print_options,
__isl_keep isl_ast_node *node, void *user)
{
isl_id *id;
int is_user;
struct ppcg_kernel *kernel;
struct ppcg_kernel_stmt *stmt;
struct print_host_user_data *data;
isl_ast_print_options_free(print_options);
data = (struct print_host_user_data *) user;
id = isl_ast_node_get_annotation(node);
if (!id)
return print_device_node(p, node, data->prog);
is_user = !strcmp(isl_id_get_name(id), "user");
kernel = is_user ? NULL : isl_id_get_user(id);
stmt = is_user ? isl_id_get_user(id) : NULL;
isl_id_free(id);
if (is_user)
return ppcg_kernel_print_domain(p, stmt);
p = ppcg_start_block(p);
p = isl_printer_start_line(p);
p = isl_printer_print_str(p, "dim3 k");
p = isl_printer_print_int(p, kernel->id);
p = isl_printer_print_str(p, "_dimBlock");
print_reverse_list(isl_printer_get_file(p),
kernel->n_block, kernel->block_dim);
p = isl_printer_print_str(p, ";");
p = isl_printer_end_line(p);
p = print_grid(p, kernel);
p = isl_printer_start_line(p);
p = isl_printer_print_str(p, "kernel");
p = isl_printer_print_int(p, kernel->id);
p = isl_printer_print_str(p, " <<<k");
p = isl_printer_print_int(p, kernel->id);
p = isl_printer_print_str(p, "_dimGrid, k");
p = isl_printer_print_int(p, kernel->id);
p = isl_printer_print_str(p, "_dimBlock>>> (");
p = print_kernel_arguments(p, data->prog, kernel, 0);
p = isl_printer_print_str(p, ");");
p = isl_printer_end_line(p);
p = isl_printer_start_line(p);
p = isl_printer_print_str(p, "cudaCheckKernel();");
p = isl_printer_end_line(p);
p = ppcg_end_block(p);
p = isl_printer_start_line(p);
p = isl_printer_end_line(p);
print_kernel(data->prog, kernel, data->cuda);
return p;
}
static __isl_give isl_printer *print_host_code(__isl_take isl_printer *p,
struct gpu_prog *prog, __isl_keep isl_ast_node *tree,
struct cuda_info *cuda)
{
isl_ast_print_options *print_options;
isl_ctx *ctx = isl_ast_node_get_ctx(tree);
struct print_host_user_data data = { cuda, prog };
print_options = isl_ast_print_options_alloc(ctx);
print_options = isl_ast_print_options_set_print_user(print_options,
&print_host_user, &data);
p = gpu_print_macros(p, tree);
p = isl_ast_node_print(tree, p, print_options);
return p;
}
/* Given a gpu_prog "prog" and the corresponding transformed AST
* "tree", print the entire CUDA code to "p".
* "types" collects the types for which a definition has already
* been printed.
*/
static __isl_give isl_printer *print_cuda(__isl_take isl_printer *p,
struct gpu_prog *prog, __isl_keep isl_ast_node *tree,
struct gpu_types *types, void *user)
{
struct cuda_info *cuda = user;
isl_printer *kernel;
kernel = isl_printer_to_file(isl_printer_get_ctx(p), cuda->kernel_c);
kernel = isl_printer_set_output_format(kernel, ISL_FORMAT_C);
kernel = gpu_print_types(kernel, types, prog);
isl_printer_free(kernel);
if (!kernel)
return isl_printer_free(p);
p = print_host_code(p, prog, tree, cuda);
return p;
}
/* Transform the code in the file called "input" by replacing
* all scops by corresponding CUDA code.
* The names of the output files are derived from "input".
*
* We let generate_gpu do all the hard work and then let it call
* us back for printing the AST in print_cuda.
*
* To prepare for this printing, we first open the output files
* and we close them after generate_gpu has finished.
*/
int generate_cuda(isl_ctx *ctx, struct ppcg_options *options,
const char *input)
{
struct cuda_info cuda;
int r;
cuda_open_files(&cuda, input);
r = generate_gpu(ctx, input, cuda.host_c, options, &print_cuda, &cuda);
cuda_close_files(&cuda);
return r;
}
Loading...
马建仓 AI 助手
尝试更多
代码解读
代码找茬
代码优化